This inventor holds 2 USPTO granted patents. Top assignee: Institute for Information Industry. Active years: 2013-2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2013-2015
Title: Miao-Fen Chueh: Innovator in Energy Management and Foreground Detection
Introduction
Miao-Fen Chueh is a prominent inventor based in Taipei, Taiwan. She has made significant contributions to the fields of energy management and computer vision. With a total of 2 patents, her work showcases innovative solutions that address contemporary challenges in energy efficiency and image processing.
Latest Patents
Miao-Fen Chueh's latest patents include an energy management method and system, as well as a computer-readable storage medium for storing the method. The energy management method involves retrieving load information from various sources and energy-supplying information from an energy supply system. This system includes a grid power source, a renewable energy generation module, and an energy storage module. The method calculates energy thresholds to optimize energy supply to loads based on renewable energy production. The second patent focuses on a method for foreground detection using a multi-modality fusion graph cut. This method segments a foreground region in a video frame using an adaptive background Gaussian Mixture Model and a threshold value, enhancing the accuracy of video analysis.
Career Highlights
Miao-Fen Chueh is affiliated with the Institute for Information Industry, where she applies her expertise in developing innovative technologies. Her work has garnered attention for its practical applications in energy management and computer vision.
Collaborations
Miao-Fen has collaborated with notable colleagues, including Shao-Hsuan Hsu and Felix L Chang, contributing to a dynamic research environment that fosters innovation.
Conclusion
Miao-Fen Chueh's contributions to energy management and foreground detection exemplify her commitment to advancing technology. Her patents reflect a deep understanding of both energy systems and image processing, making her a valuable figure in her field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
